Revealing the spectral bands that make generic remote estimates of leaf area index in wheat crop over various interference factors and planting conditions

文献类型： 外文期刊

第一作者： Li, Heli

作者： Li, Heli;Xu, Xingang;Feng, Haikuan;Xu, Bo;Long, Huiling;Yang, Guijun;Zhao, Chunjiang;Li, Pingheng;Yang, Guijun;Li, Pingheng

作者机构：

关键词： Spectral reflectance; Generic LAI estimates; Confounding interferences; Diverse planting conditions; Extensive scenario simulations

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：8.9； 五年影响因子：9.3 ）

ISSN： 0168-1699

年卷期： 2025 年 235 卷

页码：

收录情况： SCI

摘要： Remote sensing of leaf area index (LAI) has been a strong interest in recent decades because of its significance in crop growth assessment and modeling. Yet there are wide variations and clear divergences among the chosen bands, spectral indices and model forms in existing studies, even for the same kind of crop. This study aimed to figure out the underlying implications of different spectral ranges used in previous LAI estimations and identify the bands and model form that are most suitable for generic estimation. Integrated datasets of wheat from scenario simulations with a multiple-layer canopy radiative transfer model and field campaigns over various planting conditions were used to account for various interferences on LAI estimation. Saturation was found generally appearing when visible reflectance (typically red, blue and green) was used, while LAI estimation was generally sensitive to leaf angle and observation geometry if visible and/or near-infrared (770-790 nm and 840-880 nm) reflectance was used. The LAI estimation involving red edge was easily affected by chlorophyll, while the estimation with 920 nm and 1080 nm was prone to wheat spike organ. The potential band ranges for generic LAI estimation were spotted as 739-760 nm, 918-925 nm and 1080-1100 nm to avoid saturation, the effect of observation geometry and leaf angle, and three nearby water-sensitive reflection dips. Difference form was found as the promising band combination for generic LAI estimates. A generic estimation model for wheat LAI was then proposed and proved stable and outstanding from low to high LAI under various interferences without saturation. The findings are expected to provide a revealing insight into the generic remote estimation of canopy LAI.

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